German-Speaking Data Analyst (SAS/SQL) – Remote Spain

Fisura S.A.; León; Remote; EUR 38,000 - 52,000; Full time

Job summary

IQVIA is seeking a Data Analyst (SAS/SQL) fluent in German for our Madrid Center of Excellence. The role focuses on statistical programming and real-world evidence in the healthcare sector, collaborating with international teams to deliver client-ready analyses and insights.

The ideal candidate holds a life sciences/health economics related degree and has hands-on experience with data analysis, SAS programming, and English/German communication.

Qualifications

• Completed degree in life sciences, public health, health economics, (bio)informatics, mathematics, statistics, epidemiology, or a comparable field of study.
• Relevant experience in data analysis, biostatistics, or epidemiology; excellent knowledge of at least one statistical programming language.
• Programming in SAS or knowledge in the analysis of healthcare data is a plus.
• Confident in German and English client conversations; strong communicative skills, orally and in writing.

Responsibilities

• Performing strategic analyses (recurrent and ad hoc) to derive trends, conclusions, and actionable recommendations for clients on qualitative and quantitative data, including longitudinal patient and prescription datasets.
• Evaluating secondary data on markets, physicians, pharmacists, patients, and competitive products.
• Working in close collaboration with our top pharma client's business intelligence units.
• Creating reports, presentations, and other client deliverables.

Skills

German language

SAS programming

Analytical skills

Office tools (Excel, PowerPoint)

Team player

Education

Degree in life sciences/health economics/epidemiology/m biostatistics

Tools

SAS

Job description

IQVIA is seeking a Data Analyst (SAS/SQL) fluent in German for our Madrid Center of Excellence. The role focuses on statistical programming and real-world evidence in the healthcare sector, collaborating with international teams to deliver client-ready analyses and insights.

The ideal candidate holds a life sciences/health economics related degree and has hands-on experience with data analysis, SAS programming, and English/German communication.